• Title/Summary/Keyword: research data platform

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Development of an oneM2M-compliant IoT Platform for Wearable Data Collection

  • Ahn, Il Yeup;Sung, Nak-Myoung;Lim, Jae-Hyun;Seo, Jeongwook;Yun, Il Dong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.1-15
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    • 2019
  • Internet of Things (IoT) is commonly referred to as a future internet technology to provide advanced services by interconnecting physical and virtual things, collecting and using many data from them. The IoT platform is a server platform with a common architecture to collect and share the data independent of the IoT devices and services. Recently, oneM2M, the global standards initiative for Machine-to-Machine (M2M) communications and the IoT announced the availability of oneM2M Release 2 specifications. Accordingly, this paper presents a new oneM2M-compliant IoT platform called Mobius 2.0 and proposes its application to collect the biosignal data from wearable IoT devices for emotion recognition. Experimental results show that we can collect various biosignal data seamlessly and extract meaningful features from the biosignal data to recognize two emotions of joy and sadness.

The Effects of User Experience-Based Design Innovativeness on User-Metaverse Platform Channel Relationships in South Korea

  • JEON, Joo-Eon
    • Journal of Distribution Science
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    • v.19 no.11
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    • pp.81-90
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    • 2021
  • Purpose: The purpose of this research is that Metaverse platforms' UXBDI can be distinguished among Metaverse platform channel types. Metaverse platform represents a collective term signifying services that include augmented reality, lifelogging, mirror worlds, and virtual worlds. User Experience-Based Design Innovativeness (UXBDI) is characterized by novelty in product design and services that satisfy user experience. This study examined the effect of Metaverse platforms' UXBDI on user-Metaverse platform relationships. Research design, data and methodology: Metaverse platform users were selected as samples, and a marketing research institution known as a panel company conducted the survey. It used multiple regression to test the impact on platform identification and commitment based on a survey of 442 South Korean respondents. Results: The research confirmed that UXBDI sub-dimensional scales of attractiveness and interaction increased user-Metaverse platform identification and commitment. Also, a Metaverse platform identity increased user-Metaverse platform identification in virtual and mirror worlds. Conclusion: This study contributes to multiple academic fields. First, the UXBDI of Metaverse platforms appears to be a key component of ongoing user-Metaverse relationships. Second, UXBDI affects relationships differently based on the Metaverse platform type.

Flexible Active-Matrix Electrophoretic Display With Integrated Scan-And Data-Drivers

  • Miyazaki, Atsushi;Kawai, Hideyuki;Miyasaka, Mitsutoshi;Inoue, Satoshi;Shimoda, Tatsuya
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.153-156
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    • 2004
  • A newly developed flexible active-matrix (AM-) electrophoretic display (EPD) is reported. The AM-EPD features: (1) low-temperature polycrystalline silicon (LTPS) thin film transistor (TFT) technology, (2) fully integrated scan- and data-drivers, (3) flexibility and light-weight realized by transferring the whole circuits onto a plastic substrate using $SUFTLA^{TM}$ (Surface Free Technology by Laser Annealing/Ablation) process. A large storage capacitor is formed in each pixel so that driving electric field can be kept sufficiently strong during a writing period Two-phase driving scheme, a reset-phase which erases a previous image and a writing-phase for writing a new image, was chosen to cope with EPD's high driving voltage. The flexible AM-EPD has been successfully operated with a driving voltage of 8.5 V.

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Platform Business and Value Creation: Using Public Open Data (플랫폼 비즈니스와 가치 창출: 개방형 공공데이터 활용)

  • Han, Junghee
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.155-174
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    • 2019
  • Variety of data have been opened or connected by several levels of government. In smart city initiatives, open data become the source of a new business model. This paper is to foster ways of public open data (POD) by analyzing the start-up company that utilizes POD. In order to fulfill it, this paper adapts the case study research. Findings say that POD has potential to validate and further enrich the platform business. But to find which types of public open data are most prevalent is insufficient. To do this, it is more needed that sophisticated and many cases should be examined. However, this paper shows that platform business by using POD could lead to reduce the cost and increase the benefits for both providers and customers. From the findings, this paper shows that public open data has an important role not only to boost new venture creations which are prevalent ways of smart city but also to foster different platforms enabling new value capture and creation according to development of internet of things based on ICT technology.

Study about Real-time Total Monitoring Technique for Various Kinds of Multi Weather Radar Data (이기종-다중 기상레이더 자료의 실시간 통합 모니터링 기법 연구)

  • Jang, Bong-Joo;Lee, Keon-Haeng;Lim, Sanghun;Lee, Dong-Ryul;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.689-705
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    • 2016
  • This paper proposed an realtime total monitoring platform for various kind of multi weather radars to analyze and predict weather phenomenons and prevent meteorological disasters. Our platform is designed to process each weather radar data on each radar site to minimize overloads from conversion and transmission of large volumed radar data, and to set observers up the definitive radar data via public framework server separately. By proposed method, weather radar data having different spatial or temporal resolutions can be automatically synchronized with there own spatio-temporal domains on public GIS platform having only one spatio-temporal criterion. Simulation result shows that our method facilitates the realtime weather monitoring from weather radars having various spatio-temporal resolutions without other data synchronization or assimilation processes. Moreover, since this platform doesn't require some additional computer equipments or high-technical mechanisms it has economic efficiency for it's systemic constructions.

Exploratory Analysis of Platform Government Research (플랫폼 정부 연구의 탐색적 분석)

  • Shin, Sun-Young;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.29 no.1
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    • pp.159-179
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    • 2020
  • Purpose: We present a scientometric review of the literature on platform government to serve three primary purposes: First, to cluster researches on platform government based on the research issues; second, to identify the major papers, authors, and keywords in the domain; and third, to explore the promising research areas of platform government. Design/methodology/approach: We collected the platform government research from Web of Science, and analyzed 1,536 articles that was published during time span of 1998-2019. Next, co-citation networks are constructed and analyzed by using CiteSpace to visualize the domain clusters and dynamic research trends in the platform government domain. Findings: We identified 13 sub areas of the platform government research: global investigation, consumer product quality, digital agora, civic crowd funding, and open data use etc. We also visualize the top 20 references with the strongest citation bursts, co-authors network, co-occurring keyword network, and timeline of co-citation clusters.

A Study on the Development Strategy for Future GeoSpatial Open Platform (미래 공간정보 오픈 플랫폼의 개발전략에 관한 연구)

  • Kim, MoonGie;Yoon, DongHyeon;Koh, JuneHwan
    • Spatial Information Research
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    • v.23 no.2
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    • pp.59-68
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    • 2015
  • According to the NGIS (National Geographic Information System) project conducted since 1995, the central and local government has been accumulating huge amount of geospatial data. Korean Ministry of Land, Infrastructure and Transport started its GeoSpatial open platform (V-World) service in January 2012, also offering a wide range of functions and services. However, the National GeoSpatial open platform is still woefully deficient for the users to find their desired data, lack of data for private business area, insufficient in publicity of local government and public-private partnerships. Through analyzing current research trend after GeoSpatial open platform served for three years, study on overseas expansion, system links, service improvement, utilization and future strategy has been mainly conducted. This study, by analyzing the advanced overseas GeoSpatial platform as well as domestic research trend and combining the concept of new technology, business platform and SMG (Seoul Metropolitan Government)'s GeoSpatial platform, proposes a policy for the construction of future GeoSpatial Open Platform model.

A Study on the Development of E-Commerce Shipping Platform in China

  • Ying, Lou;Lee, Su-Ho;Shou, Jian-Min
    • Journal of Navigation and Port Research
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    • v.40 no.2
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    • pp.73-82
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    • 2016
  • With the advent of Internet era, e-commerce has become the focus of human's life. It leads a new direction of social development. As the representative of traditional industry, shipping industry is confronted with a series of difficulties, which have to break through the traditional and existing model to make their business for survival. With the increasing pricking up of market competition, shipping industry is now facing development bottle neck, but e-commerce provides a new way to solve the problem. This paper firstly describes the existing forms of the e-commerce shipping platform. Secondly analyzes the data for the situation of shipping industry in China, the data for expected functions of an e-commerce shipping platform and the data for how to choose a specific e-commerce shipping platform. Thirdly analyzes the potential risks of establishing e-commerce shipping platform in China. Based on the above researched, the paper provides a suggested model of the shipping e-commerce shipping platform in China.

The Predictive QSAR Model for hERG Inhibitors Using Bayesian and Random Forest Classification Method

  • Kim, Jun-Hyoung;Chae, Chong-Hak;Kang, Shin-Myung;Lee, Joo-Yon;Lee, Gil-Nam;Hwang, Soon-Hee;Kang, Nam-Sook
    • Bulletin of the Korean Chemical Society
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    • v.32 no.4
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    • pp.1237-1240
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    • 2011
  • In this study, we have developed a ligand-based in-silico prediction model to classify chemical structures into hERG blockers using Bayesian and random forest modeling methods. These models were built based on patch clamp experimental results. The findings presented in this work indicate that Laplacian-modified naive Bayesian classification with diverse selection is useful for predicting hERG inhibitors when a large data set is not obtained.

Developing the Core Modules of for Viz-Platform for Supporting Public Service in the City (도시의 공공서비스 제공을 위한 시각화 플랫폼의 핵심모듈 개발)

  • Kim, Mi-Yun
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1131-1139
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    • 2015
  • The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.